
Build NVIDIA JetBot and train collision avoidance
Wheeled, Easy, $150
JetBot is NVIDIA's open-source AI robot on Jetson Nano, under $150 on top of the Nano, programmed from your browser with Jupyter notebooks.
Cost $150: JetBot README, parts excluding Jetson Nano.
Tutorials go from basic motion to collecting 'free vs blocked' images and training a collision-avoidance CNN, then road following.
Hardware & cost: Jetson Nano plus less than $150 in parts per the README; SparkFun and Waveshare sell kits.
Difficulty: Easy.
Agent install prompt (paste into Claude Code, Cursor or Codex): "Follow https://jetbot.org from https://github.com/NVIDIA-AI-IOT/jetbot to set up the JetBot image, then run the collision-avoidance notebooks."
Source: NVIDIA-AI-IOT/jetbot on GitHub — https://github.com/NVIDIA-AI-IOT/jetbot (facts checked against the project README, Oct 2026; prices vary by region).
Quick answers
- How much does it cost to build NVIDIA JetBot and train collision avoidance?
- About $150, per the JetBot README, parts excluding Jetson Nano.
- What do you need to build NVIDIA JetBot and train collision avoidance?
- Jetson Nano plus less than $150 in parts per the README; SparkFun and Waveshare sell kits.
- How hard is it to build NVIDIA JetBot and train collision avoidance?
- Easy.
Ideas to try with it
Our ideas, not the builder's claims.
- Teach it to avoid chair legs from a Jupyter notebook
- Follow a road made of tape on the floor
- Stream the camera and drive it from your browser
1 more ideaShow fewer
- Use it to teach a workshop on training small vision models
- Last commit
- 2026-06-30
- Builder
- NVIDIA-AI-IOT
- Repo
- NVIDIA-AI-IOT/jetbot, 3,351 stars
- Built with
- Jetson Nano
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